At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.
Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.
Ideal Qualifications- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
AI Workflow Engineer (Remote) (Sheffield) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Workflow Engineers to thrive in a remote setting while contributing to groundbreaking projects. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development in the rapidly evolving field of AI, ensuring that our team members are at the forefront of technology. Join us in shaping the future of autonomous agents and enjoy the flexibility of remote work alongside a passionate team dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Workflow Engineer (Remote) (Sheffield)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. We love seeing real-world applications of your expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI workflows. We recommend practicing coding challenges and discussing your past experiences with multi-turn system interactions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI.
We think you need these skills to ace AI Workflow Engineer (Remote) (Sheffield)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Workflow Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Provide examples of how you've built production-grade software or worked with major programming languages like Python or JavaScript. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise but detailed enough to convey your impact. Use bullet points if it helps make your achievements stand out. Remember, we’re looking for outstanding attention to detail!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our projects and culture at StudySmarter.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you'll likely be asked about your experience with databases during the interview.
✨Showcase Your Experience
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how it contributed to the success of your projects. Real-world examples will make your answers stand out!
✨Understand AI Workflows
Familiarise yourself with the concepts of AI agents and multi-step workflows. Be ready to explain how you would approach training large language models and integrating them with live tools. This shows your passion for the role and your understanding of the industry.
✨Attention to Detail is Key
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. Prepare to discuss any subtle failures you've encountered in past projects and how you resolved them. This will demonstrate your analytical skills and attention to detail.
